sim_agents: A Function to simulate animal movement with an ABM
In andyhoegh/moveR: Agent-Based Models for Animal Movement

A Function to simulate animal movement with an ABM

1 2	sim_agents(num_agents, time_points, mu_true, sigma_true, mu_theta_true, sigmasq_eps, sigmasq_eta, x_range, y_range)

`num_agents`	The number of agents to simulate
`time_points`	The number of discrete time steps
`mu_true`	Value for mean step size in truncated normal distribution
`sigma_true`	Value for the standard deviation of mean step size in truncated normal distribution
`mu_theta_true`	Vector for mean of multivariate normal (for projected normal distribution)
`sigmasq_eps`	Value for eps
`sigmasq_eta`	Value for eta
`x_range`	Range of x-values to simulate starting points of agents
`y_range`	Range of y-values to simulate starting points of agents